The compendium is created with an objective to organise all the latest research carried in the direction of NLP, so that interested researchers, students can head directly to papers that matter rather than sauntering through the conference website and face information overload.

NLP top 10 conferences Compendium

1. ACL:

Papers Call 2020:

https://acl2020.org/calls/papers/

ACL 2019:

Best Demo papers:

Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts. Rui Xia and Zixiang Ding

A Simple Theoretical Model of Importance for Summarization Maxime Peyrard

Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher and Pascale Fung

We need to talk about standard splits Kyle Gorman and Steven Bedrick

Zero-shot Word Sense Disambiguation using Sense Definition Embeddings Sawan Kumar, Sharmistha Jat, Karan Saxena and Partha Talukdar

Best short paper:

Do you know that Florence is packed with visitors? Evaluating state-of-the-art models of speaker commitment. Nanjiang Jiang and Marie-Catherine de Marneffe

Best long paper:

Bridging the Gap between Training and Inference for Neural Machine Translation. Wen Zhang, Yang Feng, Fandong Meng, Di You and Qun Liu

Nominated Best papers:

Title: Detecting Concealed Information in Text and Speech Authors: Shengli Hu

Title: AMR Parsing as Sequence-to-Graph Transduction. Authors: Sheng Zhang, Xutai Ma, Kevin Duh and Benjamin Van Durme

Title: Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study. Authors: Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar and Yoshua Bengio

Title: Transferable Multi-Domain State Generator for Task-Oriented Authors: Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher and Pascale Fung

Title: Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts. Authors: Rui Xia and Zixiang Ding

Title: ConvLab: Multi-Domain End-to-End Dialog System Platform Authors: Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Zheng Zhang, Yaoqin Zhang, Xiang Li, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang and Jianfeng Gao

Title: Studying Summarization Evaluation Metrics in the Appropriate Scoring Range Author: Maxime Peyrard

Title: Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good. Authors: Xuewei Wang, Weiyan Shi, Richard Kim, Yoojung Oh, Sijia Yang, Jingwen Zhang and Zhou Yu

Title: Zero-Shot Entity Linking by Reading Entity Descriptions Authors: Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin and Honglak Lee

Table of accepted Tutorials:

Table of accepted Tutorials:
T1: Latent Structure Models for Natural Language Processing
T2: Graph-Based Meaning Representations: Design and Processing
T3: Discourse Analysis and Its Applications
T4: Computational Analysis of Political Texts: Bridging Research Efforts Across Communities
T5: Wikipedia as a Resource for Text Analysis and Retrieval
T6: Deep Bayesian Natural Language Processing
T7: Unsupervised Cross-Lingual Representation Learning
T8: Advances in Argument Mining
T9: Storytelling from Structured Data and Knowledge Graphs : An NLG Perspective

List of Workshops:

NLP for Conversational AI

BioNLP 2019

Second Workshop on Storytelling (StoryNLP)

4th Workshop on Representation Learning for NLP (RepL4NLP-2019)

All papers:

Proceedings all Papers 661 papers
Student Reasearch Workshop 61 papers
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations 35 papers
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts 10 papers

ACL 2018:

Best Demo Paper:

Out-of-the-box Universal Romanization Tool by Ulf Hermjakob, Jonathan May and Kevin Knight

Best Short papers:

Know What You Don’t Know: Unanswerable Questions for SQuAD. Pranav Rajpurkar, Robin Jia and Percy Liang
‘Lighter’ Can Still Be Dark: Modeling Comparative Color Descriptions. Olivia Winn and Smaranda Muresan

Best Long papers:

Finding syntax in human encephalography with beam search. John Hale, Chris Dyer, Adhiguna Kuncoro and Jonathan Brennan.
Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information. Sudha Rao and Hal Daumé III.
Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers. Andre Cianflone,_ Yulan Feng,_ Jad Kabbara* and Jackie Chi Kit Cheung.

Best Paper Honourable Mentions:

Short Papers

Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling. Luheng He, Kenton Lee, Omer Levy and Luke Zettlemoyer.
Do Neural Network Cross-Modal Mappings Really Bridge Modalities? Guillem Collell and Marie-Francine Moens.

Long Papers

Coarse-to-Fine Decoding for Neural Semantic Parsing. Li Dong and Mirella Lapata.
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Ricardo Henao and Lawrence Carin.
Backpropagating through Structured Argmax using a SPIGOT. Hao Peng, Sam Thomson and Noah A. Smith.
Hierarchical Neural Story Generation. Angela Fan, Mike Lewis and Yann Dauphin.
Semantically Equivalent Adversarial Rules for Debugging NLP models. Marco Tulio Ribeiro, Sameer Singh and Carlos Guestrin.
Large-Scale QA-SRL Parsing. Nicholas FitzGerald, Julian Michael, Luheng He and Luke Zettlemoyer.

Table of accepted Tutorials:

T1: 100 Things You Always Wanted to Know about Semantics & Pragmatics But Were Afraid to Ask
T2: Neural Approaches to Conversational AI
T3: Variational Inference and Deep Generative Models
T4: Connecting Language and Vision to Actions
T5: Beyond Multiword Expressions: Processing Idioms and Metaphors
T6: Neural Semantic Parsing
T7: Deep Reinforcement Learning for NLP
T8: Multi-lingual Entity Discovery and Linking

List of Workshops:

All Papers

ACL 2017:

Best Demo papers:

OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart and Alexander Rush,

Best Resource Paper:

Alane Suhr, Mike Lewis, James Yeh and Yoav Artzi, A Corpus of Natural Language for Visual Reasoning

Best short papers:

Bogdan Ludusan, Reiko Mazuka, Mathieu Bernard, Alejandrina Cristia and Emmanuel Dupoux The Role of Prosody and Speech Register in Word Segmentation: A Computational Modelling Perspective
Yizhong Wang and Sujian Li A Two-stage Parsing Method for Text-level Discourse Analysis
Keisuke Sakaguchi, Matt Post and Benjamin Van Durme Error-repair Dependency Parsing for Ungrammatical Texts
Jindřich Libovický and Jindřich Helcl Attention Strategies for Multi-Source Sequence-to-Sequence Learning
Xinyu Hua and Lu Wang Understanding and Detecting Diverse Supporting Arguments on Controversial

Best long papers:

Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio and Joelle Pineau Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses
Daniel Hershcovich, Omri Abend and Ari Rappoport A Transition-Based Directed Acyclic Graph Parser for UCCA
Maxim Rabinovich, Mitchell Stern and Dan Klein Abstract Syntax Networks for Code Generation and Semantic Parsing
Yanzhuo Ding, Yang Liu, Huanbo Luan and Maosong Sun Visualizing and Understanding Neural Machine Translation
Ines Rehbein and Josef Ruppenhofer Detecting annotation noise in automatically labelled data

General Map:

ACL Wiki main page

ACL Lifetime Achievement Award Recipients

Annual Meetings of the Association for Computational Linguistics

ACL sponsored events

List of NLP/CL courses

Mirror of Past ACL Conferences

2. EMNLP

EMNLP 2018:

Best Demo Paper:

Best Short papers:

Best Long papers:

Best Paper Honourable Mentions:

Table of accepted Tutorials:

T1: Joint models for NLP Yue Zhang
T2: Graph Formalisms for Meaning Representations Adam Lopez and Sorcha Gilroy
T3: Writing Code for NLP Research Matt Gardner, Mark Neumann, Joel Grus, and Nicholas Lourie
T4: Deep Latent Variable Models of Natural Language Alexander Rush, Yoon Kim, and Sam Wiseman
T5: Standardized Tests as benchmarks for Artificial Intelligence Mrinmaya Sachan, Minjoon Seo, Hannaneh Hajishirzi, and Eric Xing
T6: Deep Chit-Chat: Deep Learning for ChatBots Wei Wu and Rui Yan